100+ datasets found
  1. Homebuyers in the U.S. 2024, by generation

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Homebuyers in the U.S. 2024, by generation [Dataset]. https://www.statista.com/statistics/420808/home-buyers-by-generation-usa/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Jun 2024
    Area covered
    United States
    Description

    About ** percent of homebuyers in the United States in 2024 were young Boomers, making them the generation with the largest share of homebuyers in the United States that year. On the hand, generation Z buyers made up only **** percent of homebuyers.

  2. Homeownership rate in the U.S. 2024, by age

    • statista.com
    Updated Aug 11, 2025
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    Statista (2025). Homeownership rate in the U.S. 2024, by age [Dataset]. https://www.statista.com/statistics/1036066/homeownership-rate-by-age-usa/
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    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The homeownership rate was the highest among Americans in their early 70s and the lowest among people in their early 20s in 2024. In that year, approximately **** percent of individuals aged 70 to 74 resided in a residence they owned, compared to approximately ** percent among individuals under the age of 25. On average, **** percent of Americans lived in an owner-occupied home. The homeownership rate was the highest in 2004 but has since declined.

  3. F

    Consumer Unit Characteristics: Percent Homeowner with Mortgage by Age: from...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Consumer Unit Characteristics: Percent Homeowner with Mortgage by Age: from Age 45 to 54 [Dataset]. https://fred.stlouisfed.org/series/CXU980230LB0405M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner with Mortgage by Age: from Age 45 to 54 (CXU980230LB0405M) from 1984 to 2023 about consumer unit, age, homeownership, mortgage, percent, and USA.

  4. Gen Z homeownership rate in the U.S. 2016 and 2025, by ethnicity

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Gen Z homeownership rate in the U.S. 2016 and 2025, by ethnicity [Dataset]. https://www.statista.com/statistics/948568/gen-z-homeownership-rate-by-race-forecast/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    United States
    Description

    This statistic shows the Generation Z homeownership rate in the United States in 2016 and 2025, by ethnicity. In 2016, almost ** percent of Hispanic Americans between 15 and 24 years were homeowners, but this is set to rise to **** percent by 2025 when they will be 25 to 34 years.

  5. Share of homeowners in England 2024, by age

    • statista.com
    Updated Mar 6, 2025
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    Statista (2025). Share of homeowners in England 2024, by age [Dataset]. https://www.statista.com/statistics/321065/uk-england-home-owners-age-groups/
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023 - Mar 2024
    Area covered
    England, United Kingdom
    Description

    About 36 percent of homeowners in England were aged 65 and above, which contrasts sharply with younger age groups, particularly those under 35. Young adults between 25 and 35, made up 15 percent of homeowners and had a dramatically lower homeownership rate. The disparity highlights the growing challenges faced by younger generations in entering the property market, a trend that has significant implications for wealth distribution and social mobility. Barriers to homeownership for young adults The path to homeownership has become increasingly difficult for young adults in the UK. A 2023 survey revealed that mortgage affordability was the greatest obstacle to property purchase. This represents a 39 percent increase from 2021, reflecting the impact of rising house prices and mortgage rates. Despite these challenges, one in three young adults still aspire to get on the property ladder as soon as possible, though many have put their plans on hold. The need for additional financial support from family, friends, and lenders has become more prevalent, with one in five young adults acknowledging this necessity. Regional disparities and housing supply The housing market in England faces regional challenges, with North West England and the West Midlands experiencing the largest mismatch between housing supply and demand in 2023. This imbalance is evident in the discrepancy between new homes added to the housing stock and the number of new households formed. London, despite showing signs of housing shortage, has seen the largest difference between homes built and households formed. The construction of new homes has been volatile, with a significant drop in 2020, a rebound in 2021 and a gradual decline until 2024.

  6. Homeownership rate in the U.S. 1990-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Homeownership rate in the U.S. 1990-2024 [Dataset]. https://www.statista.com/statistics/184902/homeownership-rate-in-the-us-since-2003/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The homeownership rate in the United States declined slightly in 2023 and remained stable in 2024. The U.S. homeownership rate was the highest in 2004 before the 2007-2009 recession hit and decimated the housing market. In 2024, the proportion of households occupied by owners stood at **** percent in 2024, *** percentage points below 2004 levels. Homeownership since the recession The rate of homeownership in the U.S. fell in the lead up to the recession and continued to do so until 2016. Despite this trend, the share of Americans who perceived homeownership as part of their personal American dream remained relatively stable. This suggests that the financial hardship caused by the recession led to the fall in homeownership, rather than a change in opinion about the importance of homeownership itself. What the future holds for homeownership Homeownership trends vary from generation to generation. Homeownership among Americans over 65 years old is declining, whereas most Millennial renters plan to buy a home in the near future. This suggests that homeownership will remain important in the future, as Millennials are forecast to head most households over the next two decades.

  7. F

    Homeownership Rate in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 28, 2025
    + more versions
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    (2025). Homeownership Rate in the United States [Dataset]. https://fred.stlouisfed.org/series/RHORUSQ156N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q2 2025 about homeownership, housing, rate, and USA.

  8. COVID-19 effect on U.S. homeownership plans 2020, by generation

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). COVID-19 effect on U.S. homeownership plans 2020, by generation [Dataset]. https://www.statista.com/statistics/1220507/covid-homeownership-plans-genz-millennials-gen-x-baby-boomers-usa/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020
    Area covered
    United States
    Description

    In a September 2020 survey among adults in the United States, many respondents said that the COVID-19 pandemic did not change their interest in buying a home. Millennials were most likely to have changed their homeownership plans: ** percent of Millennials were more interested in buying a home due to the COVID-19 pandemic compared with **** percent of Baby Boomers.In the United States, the 2020 homeownership rate reached **** percent.

  9. M

    Homeownership Rate - Age 25 to 34 | Data | 1990-2023

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Homeownership Rate - Age 25 to 34 | Data | 1990-2023 [Dataset]. https://www.macrotrends.net/datasets/4148/homeownership-rate-age-25-to-34
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1990 - 2023
    Area covered
    United States
    Description

    Homeownership Rate - Age 25 to 34: 33 years of historical data from 1990 to 2023.

  10. Homeownership expectations of adults in the United States in 2020, by...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Homeownership expectations of adults in the United States in 2020, by generation [Dataset]. https://www.statista.com/statistics/1220465/homeownership-plans-genz-millennials-genx-baby-boomers-usa/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020
    Area covered
    United States
    Description

    In a September 2020 survey among adults in the United States, ** percent of Millennials said that they were currently saving up to buy a house, as compared to ** percent of Baby Boomers. While just ***** percent of GenZers said that they never plan or expect to own a home, ***** in **** Baby Boomers said so (** percent).In the United States, the 2020 homeownership rate reached **** percent.

  11. Homeownership rate among LGBT community in the U.S. 2018, by generation

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Homeownership rate among LGBT community in the U.S. 2018, by generation [Dataset]. https://www.statista.com/statistics/988061/homeownership-rate-lgbt-usa-by-generation/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2018
    Area covered
    United States
    Description

    This statistic shows the homeownership rate among LGBT community in the United States in 2018, by generation. In 2018, only ** percent of Millennial members of the LGBT community owned their home or primary living space, whereas ** percent of LGBT Boomers said the same. The homeownership rate of the general population was ** percent in 2018.

  12. d

    Factori US Home Ownership Mortgage Data | Property Data | Real-Estate Data -...

    • datarade.ai
    .json, .csv
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    Factori, Factori US Home Ownership Mortgage Data | Property Data | Real-Estate Data - 340+ Million US Homeowners [Dataset]. https://datarade.ai/data-products/factori-us-home-ownerhship-mortgage-data-loan-type-mortgag-factori
    Explore at:
    .json, .csvAvailable download formats
    Dataset authored and provided by
    Factori
    Area covered
    United States of America
    Description

    Our US Home Ownership Data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

    Our comprehensive data enrichment solution includes various data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

    Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

    Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

    Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

  13. Homeownership among Gen Ys Thailand 2021

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Homeownership among Gen Ys Thailand 2021 [Dataset]. https://www.statista.com/statistics/1289034/thailand-share-of-home-ownership-among-millennials/
    Explore at:
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Thailand
    Description

    In 2021, ** percent of millennials or Generation Ys in Thailand owned a house while ** percent of them did not. Owning a house has been one of the leading things millennials in Thailand aspire to have in their life.

  14. o

    Supplementary Data for: Homeownership and Portfolio Choice over the...

    • openicpsr.org
    delimited
    Updated Sep 29, 2022
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    Gonzalo Paz-Pardo (2022). Supplementary Data for: Homeownership and Portfolio Choice over the Generations [Dataset]. http://doi.org/10.3886/E180921V1
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    delimitedAvailable download formats
    Dataset updated
    Sep 29, 2022
    Dataset provided by
    European Central Bank
    Authors
    Gonzalo Paz-Pardo
    Time period covered
    1968 - 2017
    Description

    Supplementary PSID data for the paper "Homeownership and Portfolio Choice over the Generations"

  15. English Housing Survey data on owner occupiers, recent first time buyers and...

    • gov.uk
    Updated Jul 17, 2025
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    Ministry of Housing, Communities and Local Government (2025). English Housing Survey data on owner occupiers, recent first time buyers and second homes [Dataset]. https://www.gov.uk/government/statistical-data-sets/owner-occupiers-recent-first-time-buyers-and-second-homes
    Explore at:
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Tables on:

    • trends in ownership
    • types of purchase
    • recent first-time buyers
    • types of mortgage
    • mortgage payments
    • leaseholders
    • moves out of owner occupation
    • second homes

    The previous Survey of English Housing live table number is given in brackets below. Please note from July 2024 amendments have been made to the following tables:

    Table FA2211 and FA2221 have been combined into table FA4222.

    Table FA2501 and FA2511 and FA2531 have been combined into table FA2555.

    For data prior to 2022-23 for the above tables, see discontinued tables.

    Live tables

    https://assets.publishing.service.gov.uk/media/687830bff5eb08157f36385f/FA2222_type_of_purchase_by_age_of_HRP_and_household_type.ods">FA2222 (FA2211 and FA2221): type of purchase by age of household reference person

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">12.5 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/687830e3760bf6cedaf5bd7e/FA2321_sources_of_finance_besides_mortgage_for_purchase_ofcurrentproperty.ods">FA2321 (S311): sources of finance, other than a mortgage, for purchase of current property

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">17.9 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    <a class="govuk-link" target="_self" tabindex="-1" aria-hidden="true" data-ga4-link='{"event_name":"file_download","type":"attachment"}' href="https://assets.pub

  16. s

    Home ownership

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Apr 7, 2025
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    Race Disparity Unit (2025). Home ownership [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/housing/owning-and-renting/home-ownership/latest
    Explore at:
    csv(58 KB)Available download formats
    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    70% of White British households owned their own homes – the highest percentage out of all ethnic groups.

  17. F

    Consumer Unit Characteristics: Age of Reference Person by Housing Tenure:...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Consumer Unit Characteristics: Age of Reference Person by Housing Tenure: Homeowner with Mortgage [Dataset]. https://fred.stlouisfed.org/series/CXU980020LB1703M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Consumer Unit Characteristics: Age of Reference Person by Housing Tenure: Homeowner with Mortgage (CXU980020LB1703M) from 2003 to 2023 about consumer unit, age, homeownership, mortgage, personal, housing, and USA.

  18. R

    Residential Real Estate Market in the United States Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jul 12, 2025
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    Archive Market Research (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.archivemarketresearch.com/reports/residential-real-estate-market-in-the-united-states-868928
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, United States
    Variables measured
    Market Size
    Description

    The US residential real estate market, a cornerstone of the national economy, is projected to experience steady growth over the forecast period (2025-2033). While precise market size figures for 2019-2024 are unavailable, leveraging the provided 2.04% CAGR and considering typical market fluctuations, a reasonable estimate for the 2025 market size can be derived. Assuming a 2025 market size of $4 trillion (a conservative estimate considering the scale of the US housing market), the projected growth reflects ongoing demand fueled by population growth, urbanization, and a persistent need for housing across various price points. Key drivers include rising household formations, particularly among millennials and Gen Z, low interest rates (historically speaking) stimulating borrowing, and ongoing investment in infrastructure improvements that enhances desirability in certain areas. Emerging trends like the increasing popularity of sustainable and smart homes, remote work's impact on suburban demand, and the growing preference for multi-family dwellings are shaping market dynamics. Restraining factors include persistently high construction costs, limited housing inventory in desirable locations, and the potential for interest rate adjustments that could dampen buying activity. Leading players like Simon Property Group, Mill Creek Residential, and others are navigating this evolving landscape through strategic acquisitions, development projects, and innovative property management techniques. The steady, albeit moderate, CAGR of 2.04% reflects a market maturing beyond periods of rapid expansion. This controlled growth indicates a market finding a stable equilibrium between supply and demand. While challenges remain, particularly concerning affordability and inventory, the underlying drivers of population growth and the fundamental need for housing suggest that the long-term outlook for the US residential real estate market remains positive. The segmentation of the market (while unspecified here) likely includes distinctions based on property type (single-family homes, condos, townhouses, apartments), location (urban, suburban, rural), and price range. A granular analysis of these segments would provide a more nuanced understanding of the growth trajectory and potential opportunities within each sub-sector. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

  19. F

    Consumer Unit Characteristics: Percent Homeowner without Mortgage by Age:...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Consumer Unit Characteristics: Percent Homeowner without Mortgage by Age: from Age 45 to 54 [Dataset]. https://fred.stlouisfed.org/series/CXU980240LB0405M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner without Mortgage by Age: from Age 45 to 54 (CXU980240LB0405M) from 1984 to 2023 about consumer unit, age, homeownership, mortgage, percent, and USA.

  20. i

    Grant Giving Statistics for Generations Housing Initiatives

    • instrumentl.com
    Updated Sep 4, 2021
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    (2021). Grant Giving Statistics for Generations Housing Initiatives [Dataset]. https://www.instrumentl.com/990-report/generations-housing-initiatives
    Explore at:
    Dataset updated
    Sep 4, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Generations Housing Initiatives

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Statista (2025). Homebuyers in the U.S. 2024, by generation [Dataset]. https://www.statista.com/statistics/420808/home-buyers-by-generation-usa/
Organization logo

Homebuyers in the U.S. 2024, by generation

Explore at:
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 2023 - Jun 2024
Area covered
United States
Description

About ** percent of homebuyers in the United States in 2024 were young Boomers, making them the generation with the largest share of homebuyers in the United States that year. On the hand, generation Z buyers made up only **** percent of homebuyers.

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